Regional Groundwater Flow Modeling of the Chalk Aquifer of Beauvais, Paris Basin, North of France


chalk aquifer
groundwater flow model
sensitivity analysis

How to Cite

Adel Zghibi, Lahcen Zouhri, Jamila Tarhouni, Pascale Lutz. Regional Groundwater Flow Modeling of the Chalk Aquifer of Beauvais, Paris Basin, North of France. Glob. J. Earth Sci. Eng. [Internet]. 2015 Jan. 15 [cited 2023 May 30];1(2):57-70. Available from:


In this paper, a regional model to assess groundwater resources of the shallow groundwater system of Beauvais in the North of France has been satisfactorily completed using geophysical surveys and numerical modeling using MODFLOW-2000. A three-dimensional flow model has been developed for this aquifer using a large amount of available geological and hydrological data. The numerical flow model was calibrated and validated with datasets during 1998–2010. The calibration was done both by the automated parameter PEST and by the trial and error process. The main objective is to quantify the components of the groundwater mass balance, to estimate the hydraulic conductivity distribution and to characterize the hydrologic system. Furthermore, MODFLOW model was used to estimate the recharge, discharge, base flow and water Table fluctuation. Numerical simulations indicate that the Canada lake, located in the Therain valley, acts as a most discharge area for regional groundwater flow. Groundwater inflow from the recharge from Beauvais plateau which is mainly due to precipitation supplies the aquifer with most of its water. Following the calibration process, a sensitivity analysis was carried out. The results show that the aquifer exhibits the highest sensibility to the recharge parameters changes and hydraulic conductivity. The impact of the changes for both these hydraulic parameters appears to differ from large decrease to large increase in total groundwater discharge. The delicate shifts in the groundwater systems, which cause the changes in the recharge and discharge, clearly show the need for hydrological modeling.


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